Speeches and videos are among the primary online distribution channels for terrorists. Terrorist organisations use the internet, especially social networks, to brainwash individuals and promote their ideology through inflammatory websites that entice defenceless people to join terrorist groups. Here, we offer an efficient web data mining technique for detecting such online items and automatically flagging them for human review. Web pages are built on top of HTML (Hypertext Markup Language), which may be used in a variety of ways to combine text, images, and other elements into a single webpage. We used both web mining and data mining to extract textual content and identify trends from websites. By using the email system in this instance, we are able to detect unsolicited messages that are more likely to be terroristic and will send the spam straight to the system user.